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Remote Generative Ai Engineer Jobs in Atlanta, GA

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... Experience using generative AI or AI agents in professional workflows. * Experience integrating BI ...

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

The Senior AI Engineer is responsible for designing, building, scaling, and optimizing production-grade Agentic AI systems that drive measurable business outcomes across The Home Depot. Operating at ...

Applied AI Engineer 5425 3-Month Contract-to-Hire Fully Remote in EST possibly with some travel (5-10%) U.S. Citizens and Green Card holders only Why This Opportunity? This is a chance to become the ...

Agentic AI Engineer

Alpharetta, GA · Remote

$58 - $68/hr

Hybrid 3 days/week onsite, 2 days/week remote in Atlanta, GA Our client is seeking Agentic AI Engineers to help develop an AI-powered software testing framework. Engineers will work as part of a ...

Generative AI: Prompt engineering/architecture, image/video generation tools, Large Language Model (LLM) workflows, and evaluation frameworks. * Systems & Automation: Modular content frameworks ...

Senior eDiscovery Analyst

Atlanta, GA · Remote

$88K - $112K/yr

This is a remote-first position, with a focus on candidates in GA, TX, MA, IL, DE, MN, NY, and DC ... LLMs) and generative AI as applied to document review -- including prompt engineering, model ...

Showing results 21-40

Remote Generative Ai Engineer information

See Atlanta, GA salary details

$36.5K

$111.4K

$184.2K

How much do remote generative ai engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote generative ai engineer in Atlanta, GA is $111,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $145,700.00 per year, depending on experience, location, and employer.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

What are the most commonly searched types of Generative Ai Engineer jobs in Atlanta, GA?

The most popular types of Generative Ai Engineer jobs in Atlanta, GA are:

What are popular job titles related to Remote Generative Ai Engineer jobs in Atlanta, GA?

For Remote Generative Ai Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in Atlanta, GA look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Generative Ai Engineer jobs?

Cities near Atlanta, GA with the most Remote Generative Ai Engineer job openings:

Infographic showing various Remote Generative Ai Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $111,422 per year, or $53.6 per hour.

Enterprise Marketing & Content Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$30 - $80/hr

Full-time

Posted 10 days ago


Job description

Enterprise Marketing & Content Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Enterprise Marketing & Content Experts to evaluate and optimize AI-powered workflows across enterprise marketing, content, and MarTech platforms. You will test AI agents, identify workflow issues, and provide practical feedback to improve AI performance in real-world marketing environments.

Key Responsibilities
  • Evaluate AI-powered marketing, content, campaign, and analytics workflows.
  • Test integrations across platforms such as Adobe Workfront, AEM, Adobe Analytics, and Google Analytics.
  • Identify workflow errors, inefficiencies, and integration issues.
  • Assess AI-generated content and campaign workflows for accuracy and usability.
  • Document findings and recommend workflow improvements.
  • Collaborate with experts to develop best practices for AI-driven marketing operations.
Required Skills
  • Marketing Operations
  • MarTech
  • Content & Creative Operations
  • AI Agents
  • Codex / Claude Cowork / ChatGPT
  • Adobe Workfront
  • Adobe Experience Manager (AEM)
  • Adobe Analytics
  • Google Analytics
  • Digital Asset Management
  • Campaign Operations
  • Workplace Connectors
Preferred Qualifications
  • Experience in marketing operations, MarTech, content operations, or creative operations.
  • Hands-on experience with Adobe enterprise platforms and analytics tools.
  • Professional experience using generative AI or AI agents.
  • Strong analytical, problem-solving, and communication skills.
  • Experience with enterprise workflow integrations and automation.